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the research project - “A knowledge-embedded platform with learner- and AI-generated content for self-learning”. Qualifications Applicants should have an honours degree or an equivalent qualification. Preference
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, technical project reports and knowledge transfer documents; (e) assist in coordinating project activities, including lab maintenance, equipment operation, supplier/industry engagement and academic seminars
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knowledge; (d) develop reliability-aware diagnostic methods involving uncertainty quantification, confidence calibration, conformal prediction, out-of-distribution detection, and unknown fault recognition
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related knowledge and techniques; (c) possess a high level of work ethics and detail oriented, with a strong passion for research; and (d) be a quick learner, self-motivated, and able to deal with
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, preferably with experience in ROS2 middleware; (c) experience in or knowledge of user interface development, preferably using Qt libraries; and (d) a good command of both written and spoken English
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preparation, and proposal preparation; (e) have strong statistical knowledge and data analysis skills; (f) be proficient in using Python for data processing and text mining, and traditional qualitative
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knowledge of machine learning and computer vision; and (d) technical skills in programming and Generative AI development. Preference will be given to those with good publication records and experience in
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qualification. For all posts, applicants should also have: (a) strong knowledge of and experience in biomedical engineering, neuroscience or neurobiology, biophysics, cellular/molecular biology, preferably